For professionals · Data Scientists
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Decidi for data scientists
Find the leak in the analysis before it ships a bad decision.
Stress-test your work free 1,500 free credits · no sign-up, no card
Have the methodology, the data and the conclusion challenged by independent models — so the result you present is one a skeptic couldn’t unwind.
Why data scientists use it
- Hunt for data leakage, the confound and the spurious correlation a confident model would happily report.
- Pressure-test the conclusion: does the analysis actually support it, or is it one inference too far?
- Surface the bias in the data, the sampling problem and the population you didn’t actually measure.
- Stress-test the model for overfitting and for whether the metric reflects the real objective.
- Have a skeptic challenge the chart — what does it hide, what scale flatters it?
- Cross-check the statistics so one model’s confident p-value doesn’t go unquestioned.
Stress-test before you ship
- Data leakage, confounds and spurious correlation
- Whether the conclusion follows from the analysis
- Sampling, bias and the population you measured
- Overfitting and metric-vs-objective alignment
- The visualisation — what it hides or flatters
- Statistical claims and significance
Your council
Adversarial passes we run
Data-leakage sweepConclusion-support testBias & sampling auditOverfitting checkStatistics cross-check
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1,500 free credits · no sign-up, no card